Location-Based Pricing Optimization
MOL Group is one of the leading integrated oil and gas corporations in Europe, with operations spanning the entire energy value chain—petrochemicals, refining, exploration, production, and marketing. They boast more than 85 years of experience and production activity in 8 countries. Their diverse portfolio consists not only of oil and gas, but also sustainability initiatives, urban mobility, and distribution chains. In 2018, Hiflylabs developed a location-based pricing scheme to support MOL in meeting their retail ambitions.
3.87%
gross margin growth with retail pricing & assortment optimization.
9.54%
revenue increase across top performers.
Hiflylabs deployed its retail pricing methodology to improve the client's non-fuel pricing scheme. This methodology was based on calculating price elasticities for each location, and taking into account the business hypotheses of the client's experts.
The output was an article-level price recommendation & assortment optimization system. After a 6 month BAU period, the tested locations yielded an average of 3.87% gross margin growth above the control group, with a 9.54% increase across the top performers.
AI
Energy
R
MS SQL
R
MS SQL
"Hiflylabs solved a location-based retail pricing problem for us with a clustering solution that became the basis for in-market testing. We’ve been working together on further data-driven challenges ever since.”
István Mag
- Head of Digital Factory, MOL Group
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